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Efficient reinforcement learning in deterministic systems with value function generalization
Wen, Zheng; Van Roy, Benjamin - In: Mathematics of operations research 42 (2017) 3, pp. 762-782
Persistent link: https://www.econbiz.de/10011742485
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Risk-averse approximate dynamic programming with quantile-based risk measures
Jiang, Daniel R.; Powell, Warren B. - In: Mathematics of operations research 43 (2018) 2, pp. 554-579
Persistent link: https://www.econbiz.de/10011868618
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On boundedness of Q-learning iterates for stochastic shortest path problems
Yu, Huizhen; Bertsekas, Dimitri P. - In: Mathematics of operations research 38 (2013) 2, pp. 209-227
Persistent link: https://www.econbiz.de/10009751534
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Provably efficient reinforcement learning with linear function approximation
Jin, Chi; Yang, Zhuoran; Wang, Zhaoran; Jordan, Michael … - In: Mathematics of operations research 48 (2023) 3, pp. 1496-1521
Persistent link: https://www.econbiz.de/10014329343
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Convergence of finite memory Q learning for POMDPs and near optimality of learned policies under filter stability
Kara, Ali Devran; Yüksel, Serdar - In: Mathematics of operations research 48 (2023) 4, pp. 2066-2093
Persistent link: https://www.econbiz.de/10014437816
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A general framework for bandit problems beyond cumulative objectives
Cassel, Asaf; Mannor, Shie; Zeevi, Assaf - In: Mathematics of operations research 48 (2023) 4, pp. 2196-2232
Persistent link: https://www.econbiz.de/10014437823
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Learning in games via reinforcement and regularization
Mertikopoulos, Panayotis; Sandholm, William H. - In: Mathematics of operations research 41 (2016) 4, pp. 1297-1324
Persistent link: https://www.econbiz.de/10011595060
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Reinforcement learning in robust Markov decision processes
Lim, Shiau Hong; Xu, Huan; Mannor, Shie - In: Mathematics of operations research 41 (2016) 4, pp. 1325-1353
Persistent link: https://www.econbiz.de/10011595063
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A general framework for learning mean-field games
Guo, Xin; Hu, Anran; Xu, Renyuan; Zhang, Junzi - In: Mathematics of operations research 48 (2023) 2, pp. 656-686
Persistent link: https://www.econbiz.de/10014314872
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Optimistic posterior sampling for reinforcement learning : worst-case regret bounds
Agrawal, Shipra; Jia, Randy - In: Mathematics of operations research 48 (2023) 1, pp. 363-392
Persistent link: https://www.econbiz.de/10014312555